A ranking scheme for XML information retrieval based on benefit and reading effort

Toshiyuki Shimizu, Masatoshi Yoshikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

XML information retrieval (XML-IR) systems search for relevant document fragments in XML documents for given queries. In topk search, users control the size of output by an integer k. In XML-IR, however, each output element varies widely in size. Consequently, total output size of top-k elements is uncontrollable by simply giving an integer k. In addition, search results may have nesting elements. If a system orders result elements simply by their relevance, we may browse the same content more than once due to the nestings. To handle these problems, we propose a new ranking method that enables us to browse search results of XML-IR systems efficiently by introducing the concepts of benefit and reading effort. We also propose an evaluation metrics based on benefit and reading effort, and compared the metrics with existing XML-IR metrics by experiments.

Original languageEnglish
Title of host publicationAsian Digital Libraries
Subtitle of host publicationLooking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings
PublisherSpringer Verlag
Pages230-240
Number of pages11
ISBN (Print)9783540770930
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event10th International Conference on Asian Digital Libraries, ICADL 2007 - Hanoi, Viet Nam
Duration: Dec 10 2007Dec 13 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4822 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Asian Digital Libraries, ICADL 2007
Country/TerritoryViet Nam
CityHanoi
Period12/10/0712/13/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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